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Forget tracking AI use. Goldman's tech boss cares about this instead.
Forget tracking AI use. Goldman's tech boss cares about this instead. By Reed Alexander You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. Marco Argenti is Goldman Sachs' chief information officer. Courtesy of Goldman Sachs 2026-05-08T09:47:01.223Z Goldman has rolled out AI tools to its 12,000 engineers, who have adopted them in their workflows. Marco Argenti, Goldman's top tech exec, spoke with BI about gauging engineers' productivity with AI. The CIO says AI allows engineers to "3D print" software and generate prototypes in real time. As corporate America races to measure how employees are using AI, Goldman Sachs is taking a different path. Many firms have taken to tracking individuals. At JPMorgan, the firm monitors dashboards displaying tens of thousands of users' AI-related activities, letting employees compare themselves with their peers. At Meta, the social media giant is installing software on US employees' computers to track keystrokes and mouse movements in order to train its AI, Business Insider reported last month.At Goldman Sachs, Chief Information Officer Marco Argenti is focusing on evaluating teams' velocity with AI tools rather than zeroing in on the metrics of individual users, which he says can result in "missing the forest for the trees." Alex Schultz, Meta's CMO and VP of analytics, says AI will face wobbles and setbacks, so marketers need to focus on long-term progress and real results Argenti, who oversees roughly 12,000 engineers, is steering the firm through a rapid shift as AI reshapes how developers create software. He's focused on how quickly Goldman's engineers move from idea to production, and whether their output is actually improving how long it takes to go from an innovative idea to a product that's ready for rollout.While Goldman can access data on individuals' use of tools, including its AI products, the firm is more focused on taking a cross-team view to speed up project timelines, perform quality control assessments, and track AI token consumption for budgeting. The bank hasn't built tracking dashboards to enforce AI usage for developers to actively compare their adoption rates to their colleagues. I sat down with Argenti to discuss how Goldman is defining success for developers in the AI age, and why he says individual monitoring of developers' activities risks missing the point.Here is our conversation, edited for length and clarity.There's a debate over wheth...
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